<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multimodal Learning | Deepak Pathak</title><link>https://dpkpathak.github.io/tags/multimodal-learning/</link><atom:link href="https://dpkpathak.github.io/tags/multimodal-learning/index.xml" rel="self" type="application/rss+xml"/><description>Multimodal Learning</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://dpkpathak.github.io/media/icon_hu_1ee9bc1d317de717.png</url><title>Multimodal Learning</title><link>https://dpkpathak.github.io/tags/multimodal-learning/</link></image><item><title>YieldSAT: A multimodal benchmark dataset for high-resolution crop yield prediction</title><link>https://dpkpathak.github.io/publications/cvpr-2026-yieldsat/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://dpkpathak.github.io/publications/cvpr-2026-yieldsat/</guid><description/></item><item><title>Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction</title><link>https://dpkpathak.github.io/publications/rse-2025-multimodal-fusion/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://dpkpathak.github.io/publications/rse-2025-multimodal-fusion/</guid><description/></item><item><title>Intrinsic explainability of multimodal learning for crop yield simulation</title><link>https://dpkpathak.github.io/publications/cea-2025-intrinsic-explainability/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://dpkpathak.github.io/publications/cea-2025-intrinsic-explainability/</guid><description/></item></channel></rss>